Principal Data Engineer
California - San Francisco, United States
USD 197K-313K Senior-level Full Time
Tasks
- Architect data platforms
- Build and scale data lakehouses
- Design feature stores
- Develop real-time data pipelines
- Drive architectural evolution
- Ensure zero downtime reliability
- Establish data governance and quality frameworks
- Implement event-driven architectures
- Implement testing standards
- Lead cross functional data architecture
- Maintain data lineage tracking
- Manage CI/CD practices
- Mentor engineers
- Own data technology roadmap
- Set engineering standards for code quality
- Set up performance monitoring
- Translate business needs into technical systems
Perks/Benefits
- 401k
- Employee stock purchasing program
- Life and disability insurance
- Medical, dental, and vision insurance
- Mental health support
- Paid parental leave
- Time off programs
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud Data | Cloud Data Warehouse | Dagster | Data Engineering | Data Governance | Data Lakehouse | Data Lineage | Data Pipelines | Data Quality | Data Warehouse | Distributed Systems | Docker | Event Driven | Event-driven architecture | Feature Store | Git | Infrastructure as Code | Java | LLM Engineering | Python | Real Time | Real-time Data | Real-time data pipelines | SQL Tuning | Scala | System design | Vector Retrieval | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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